Development of an Algorithm for the Formalization of Linguistic Expert Information

Abstract

AbstractThe article is devoted to the construction of specialized models for representing heterogeneous subject knowledge for information systems. The article deals with the creation of an algorithm for intelligent processing of linguistic expert information (LEI) to formalize the textual information of several collections of texts belonging to the same subject area (SbA). The algorithm is implemented on the basis of a set of analytical methods related to the class of supervised machine learning methods. The algorithm differs from the known ones in that it allows you to create a procedure for the automatic construction of hierarchical structures (dendrograms) of several collections of texts. Scientific novelty lies in the proposed analytical method for formalizing linguistic expert information, which allows you to analyze and process linguistic expert information in relation to the task of constructing a simple ontology. The fundamental difference between the proposed model is the ability to formalize the CAD subject area based on the synthesis of various already existing classifications of this subject area with the possibility of its further modification: representation by a matrix structure of hierarchical relationships of concepts, with a format of the type associated data, which will provide automation of the presentation of an ontology in an owl format.KeywordsLearning management systemsOntologiesThe subject area of e-learning systemsA model for placing VLSI componentsA model for representing heterogeneous knowledgeFormalization of LEI